Written by an experienced team of authors, this is a creative and practical guide to evaluation for those working with young people. Accompanied by a companion website complete with downloadable worksheets, templates and author videos, it provides the tools needed to bridge the gap between theoretical knowledge and applied practice.

Detailing the steps involved in planning and carrying out a comprehensive approach to monitoring a process or new programme, policy or practice implementation in an organization, this book will develop students' skills in program evaluation, specifically in implementation monitoring.

Containing numerous step-by-step examples throughout, this new edition introduces readers to how to use IBM SPSS to plan a study, prepare data for analysis, perform the analysis and interpret the output.

Focussing on applied knowledge and providing straightforward coverage of R objects and functions, this introduction helps students with little or no background in statistics or programming to develop real-world R skills.

Providing readers with the introduction to doing research into digital cultures and technologies, this book considers the methodological, practical and theoretical elements of digital ethnography and demonstrates how to research experiences and relationships as well as objects and events

This cutting-edge overview explores big data and the related topic of computer code, examining the implications for education and schooling for today and the near future.

This concise and practical guide explores the use of Conversation Analysis as a method for conducting research in a business and management Masters dissertation.

This text presents students, researchers and policy makers in the social sciences with the tools for undertaking mixed-methods research for policy research and programme evaluation, from design, through data collection and dissemination.

The book teaches the basic concepts and vocabulary necessary to do program evaluations and to review the quality of evaluation research so as to make informed decisions about methods and outcomes.

Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, this book illustrates abstract principles, such as bias, efficiency, and measures of uncertainty in an intuitive, visual way.